Study reveals how much carbon damage would cost corporations if they paid for their emissions

https://www.autoblog.com/2023/08/26/study-reveals-how-much-carbon-damage-would-cost-corporations-if-they-paid-for-their-emissions/


The world’s corporations produce so much climate change pollution, it could eat up about 44% of their profits if they had to pay damages for it, according to a study by economists of nearly 15,000 public companies.

The “corporate carbon damages” from those publicly owned companies analyzed — a fraction of all the corporations — probably runs in the trillions of dollars globally and in the hundreds of billions for American firms, one of the study authors estimated in figures that were not part of the published research. That’s based on the cost of carbon dioxide pollution that the United States government has proposed.

Nearly 90% of that calculated damage comes from four industries: energy, utilities, transportation and manufacturing of materials such as steel. The study in Thursday’s journal Science by a team of economists and finance professors looks at what new government efforts to get companies to report their emissions of heat-trapping gases would mean, both to the firm’s bottom lines and the world’s ecological health.

Earlier this year, the European Union enacted rules that would eventually require firms to disclose carbon emissions and the United States Securities and Exchange Commission and the state of California are looking at similar regulations.

Study co-author Christian Leuz, a finance and accounting professor at the University of Chicago, said the idea “of shining the light on corporate activities that have costs to society is very powerful, but it is not enough to save the planet.” An earlier study of his found that after fracking firms disclosed their pollution rates, those contamination levels dropped 10% to 15%, he said.

The idea is consumers and stockholders would see the damage and pressure firms to be cleaner, Leuz said.

Outside economists agreed.

Leuz and his colleagues used a private analysis firm that finds or estimates carbon emissions of some publicly owned companies and analyzed the carbon pollution from 14,879 firms. Then they compared them to company revenues and profits.

That calculation shows “which activities are particularly costly to society from a climate perspective,” Leuz said. Still, he cautioned that “it would not be correct to just blame the companies. It is not possible to divide responsibility for these damages between the firms that make the products and consumers who buy them.”

The calculations are for only a fraction of the world’s corporations, with many public companies not included and private firms not listed at all, Leuz said.

The economists didn’t identify or tease out single companies but instead grouped firms by industry and by country. And they only used direct emissions, not what happens downstream. So the gas in a person’s car does not count toward an oil company’s emissions or corporate carbon damages.

The calculations use the U.S. Environmental Protection Agency’s $190 cost per ton for carbon dioxide emissions and the study doesn’t give a bottom line number in dollars, just in percent of profit and revenues. Only when asked by The Associated Press did Leuz estimate it in the trillions of dollars.

At $190 a ton, the utility industry averaged damages more than twice its profits. Materials manufacturing, energy and transportation industries all had average damages that exceeded their profits.

On the opposite end, the banking and insurance industries averaged climate damages that were less than 1% of their profits.

When looking at companies based on countries, Russia and Indonesia were the top for corporate climate damages, while the United Kingdom and the United States were the lowest. Leuz said that reflects the age and efficiency of the companies and which type of industries were based in countries.

Several outside experts said the study made sense within certain limits, while a few found faults with some of the choices of what to count, saying not counting downstream emissions is a problem. Because it doesn’t count those it “does not provide an incentive to reduce these to the level needed,” said Bill Hare, CEO of Climate Analytics, which studies global emissions and reduction efforts.

“The results are important but perhaps not that surprising,” said Stanford University economist Marshall Burke. “The bigger take-home is the number of caveats that are needed to do this analysis, indicating what a mess our emissions accounting systems currently are.”

Appalachian State University’s Gregg Marland, who helps track global emissions by country, said “good numbers do allow us to know who is producing the products that consumers want with the least contribution to climate change.”

Nobel prize winning economist Paul Romer, formerly of the World Bank and now at Boston College, said the damage estimates are useful but need to be interpreted accurately, “without the moralistic framing and induced urge to punish.”

Romer used the example of his move from New York to Boston. The initial move would go under the moving company’s corporate carbon damage, but when he took some books from his home they would not. Misusing corporate carbon damage figures could put the moving company out of business and he’d drive his stuff instead, so total carbon emissions would not be changed. Shifting to zero carbon fuel makes more sense, he said.

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August 26, 2023 at 08:11AM

NVIDIA’s DLSS 3.5 makes ray traced games look better with AI

https://www.engadget.com/nvidias-dlss-35-makes-ray-traced-games-look-better-with-ai-130012143.html?src=rss

Last year, NVIDIA unveiled DLSS 3 with frame interpolation, which used its AI-driven rendering accelerator to add extra frames to games. Now at Gamescom it’s introducing DLSS 3.5, which adds Ray Reconstruction, a new feature that will use the company’s neural network to improve the quality of ray traced images. It’ll be available for all RTX GPUs—unlike DLSS 3’s frame interpolation, which only works with RTX 40-series cards.

NVIDIA says Ray Reconstruction will replace "hand-tuned denoisers with an NVIDIA supercomputer-trained AI network that generates higher-quality pixels in between sampled rays." That’s similar to NVIDIA’s original pitch for DLSS — making low-res textures look better thanks to AI — and it could potentially lead to better ray tracing performance as well. In images shown to media, Ray Reconstruction appears to deliver sharper reflections and textures in supported titles. (See comparisons below.)

According to the company, Cyberpunk 2077 in Overdrive Mode (its most powerful ray tracing offering) hit 108 fps with DLSS 3.5 and Ray Reconstruction, while the same system reached 100fps with DLSS 3 alone, 63fps with DLSS 2 (which lacks Frame Generation) and 20fps without any DLSS help.

Just like previous DLSS releases, developers will have to manually implement support for Ray Reconstruction. Cyberpunk 2077 (and its expansion Phantom Liberty) will be the first DLSS 3.5 title in September, followed by Portal RTX and Alan Wake 2. NVIDIA will be showing off Ray Reconstruction at Gamescom this week, and hopefully we’ll get a look ourselves sometime soon.

This article originally appeared on Engadget at https://ift.tt/HAIP8K3

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August 22, 2023 at 08:06AM

The Download: reusing heat from computers, and period research

https://www.technologyreview.com/2023/08/21/1078143/the-download-reusing-heat-period-research/

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

This startup has engineered a clever way to reuse waste heat from cloud computing

The idea of using the wasted heat of computing to do something else has been mooted plenty of times before. Now, UK startup Heata is actually doing it. When you sign up, it places a server in your home, where it connects via your Wi-Fi network to similar servers in other homes—all of which process data from companies that pay it for cloud computing services. 

Each server prevents one ton of carbon dioxide equivalent per year from being emitted and saves homeowners an average of £250 on hot water annually, a considerable discount in a country where many inhabitants struggle to afford heat.

The clever thing is that it provides a way to use electricity twice—providing services to the rapidly growing cloud computing industry and also providing domestic hot water—at a time when energy efficiency matters more than ever. Read the full story.

—Luigi Avantaggiato

Tiny faux organs could crack the mystery of menstruation

A group of scientists are using new tools akin to miniature organs to study a poorly understood—and frequently problematic—part of human physiology: menstruation. 

Heavy, sometimes debilitating periods strike at least a third of people who menstruate at some point in their lives, causing some to regularly miss work or school. Anemia threatens about two-thirds of people with heavy periods. Many people desperately need treatments to make their period more manageable, but it’s difficult for scientists to design medications without understanding how menstruation really works.

That understanding could be in the works, thanks to endometrial organoids—biomedical tools made from bits of the tissue that lines the uterus. The research is still very much in its infancy. But organoids have already provided insights into why menstruation is routine for some people and fraught for others. Some researchers are hopeful that these early results mark the dawn of a new era. Read the full story

—Saima Sidik

Both of the stories featured today are from the new ethics-themed print magazine issue of MIT Technology Review, set to go live on Wednesday. Subscribe to read it, if you don’t already!

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Canadian leaders are calling on Meta to reverse its news ban
They say the block has been preventing people from getting access to crucial information about wildfires. (WP $)
+ 850 people are still missing after the Maui wildfires, its mayor has said. (NBC)
Lahaina’s governor says the state ‘tipped too far’ in trying to preserve water. (NYT $)

2 Stars are inking deals to license their AI doubles ?
It creates new ways to make money—but also a hefty dose of anxiety for the future. (The Information $)
People are hiring out their faces to become deepfake-style marketing clones. (MIT Technology Review)
+ Despite early excitement, a lot of companies are struggling to meaningfully deploy AI. (Axios)
 + Most Americans want AI development to go more slowly. (Vox)

3 Russia’s bid to return to the moon failed
Its Luna 25 spacecraft slammed into the moon’s surface yesterday. (The Economist $)

4 Cruise has to halve its robotaxi fleet after two crashes in San Francisco
Just over a week after it gained approval to operate at all hours in the city. (Quartz)
Lidar on a chip will be crucial to the future of fully autonomous driving. (IEEE Spectrum)

5 Why some ships are getting back their sails
Shipping accounts for 2.1% of global CO2 emissions—using wind instead of fuel could help to cut that. (BBC)
How ammonia could help clean up global shipping. (MIT Technology Review)

6 Musk says X will no longer have a block function
Though it will remain for direct messages. (CNBC)
+ A glitch broke links from before 2014 on X. (The Verge)
+ Musk’s antics are starting to wear thin among some of his fans. (WSJ $)
+ Tesla is suing two former employees for allegedly leaking data. (Quartz $)

7 Here’s the trouble with getting your news from influencers
If you’re relying on a single creator, what happens when they’re wrong? (The Verge)

8 Can video games help people with ADHD?
As stimulant shortages drag on, people are starting to seek out help wherever they can. (Wired $)
We may never fully know how video games affect our wellbeing. (MIT Technology Review)

9 Haptic suits let you feel music through your skin
Groovy! (NYT $)

10 How Apple won US teens over
A recent survey found 87% have iPhones, and they’re unlikely to switch. (WSJ $)
Switching on subtitles is all the rage too. (Axios)

Quote of the day

“I used to think, ‘I’m concerned for my children and grandchildren.’ Now it’s to the point where I’m concerned about myself.”

—Mike Flannigan, a professor of wildland fire at Thompson Rivers University in Kamloops, Canada, tells the LA Times how he feels about scientists’ most dire climate predictions coming true.

The big story

This fuel plant will use agricultural waste to combat climate change

Photograph of orchard

MOTE

February 2022

A startup called Mote plans to build a new type of fuel-producing plant in California’s fertile Central Valley that would, if it works as hoped, continually capture and bury carbon dioxide, starting from 2024. 

It’s among a growing number of efforts to commercialize a concept first proposed two decades ago as a means of combating climate change, known as bioenergy with carbon capture and sequestration, or BECCS.

It’s an ambitious plan. However, there are serious challenges to doing BECCS affordably and in ways that reliably suck down significant levels of carbon dioxide. Read the full story.

—James Temple

We can still have nice things

A place for comfort, fun and distraction in these weird times. (Got any ideas? Drop me a line or tweet ’em at me.)

+ Amused by a 2001 BBC news report that refers to camera phones as a “gimmick.”
+ It won’t be to everyone’s taste, but this drink sounds delicious to me. 
+ Fan of Dave Grohl? I thoroughly recommend reading his autobiography
+ Today I discovered you can deter seagulls from stealing your food by staring them down.

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August 21, 2023 at 07:14AM

Why we should all be rooting for boring AI

https://www.technologyreview.com/2023/08/22/1078230/why-we-should-all-be-rooting-for-boring-ai/

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

I’m back from a wholesome week off picking blueberries in a forest. So this story we published last week about the messy ethics of AI in warfare is just the antidote, bringing my blood pressure right back up again. 

Arthur Holland Michel does a great job looking at the complicated and nuanced ethical questions around warfare and the military’s increasing use of artificial-intelligence tools. There are myriad ways AI could fail catastrophically or be abused in conflict situations, and there don’t seem to be any real rules constraining it yet. Holland Michel’s story illustrates how little there is to hold people accountable when things go wrong.  

Last year I wrote about how the war in Ukraine kick-started a new boom in business for defense AI startups. The latest hype cycle has only added to that, as companies—and now the military too—race to embed generative AI in products and services. 

Earlier this month, the US Department of Defense announced it is setting up a Generative AI Task Force, aimed at “analyzing and integrating” AI tools such as large language models across the department. 

The department sees tons of potential to “improve intelligence, operational planning, and administrative and business processes.” 

But Holland Michel’s story highlights why the first two use cases might be a bad idea. Generative AI tools, such as language models, are glitchy and unpredictable, and they make things up. They also have massive security vulnerabilitiesprivacy problems, and deeply ingrained biases.  

Applying these technologies in high-stakes settings could lead to deadly accidents where it’s unclear who or what should be held responsible, or even why the problem occurred. Everyone agrees that humans should make the final call, but that is made harder by technology that acts unpredictably, especially in fast-moving conflict situations. 

Some worry that the people lowest on the hierarchy will pay the highest price when things go wrong: “In the event of an accident—regardless of whether the human was wrong, the computer was wrong, or they were wrong together—the person who made the ‘decision’ will absorb the blame and protect everyone else along the chain of command from the full impact of accountability,” Holland Michel writes. 

The only ones who seem likely to face no consequences when AI fails in war are the companies supplying the technology.

It helps companies when the rules the US has set to govern AI in warfare are mere recommendations, not laws. That makes it really hard to hold anyone accountable. Even the AI Act, the EU’s sweeping upcoming regulation for high-risk AI systems, exempts military uses, which arguably are the highest-risk applications of them all. 

While everyone is looking for exciting new uses for generative AI, I personally can’t wait for it to become boring. 

Amid early signs that people are starting to lose interest in the technology, companies might find that these sorts of tools are better suited for mundane, low-risk applications than solving humanity’s biggest problems.

Applying AI in, for example, productivity software such as Excel, email, or word processing might not be the sexiest idea, but compared to warfare it’s a relatively low-stakes application, and simple enough to have the potential to actually work as advertised. It could help us do the tedious bits of our jobs faster and better.

Boring AI is unlikely to break as easily and, most important, won’t kill anyone. Hopefully, soon we’ll forget we’re interacting with AI at all. (It wasn’t that long ago when machine translation was an exciting new thing in AI. Now most people don’t even think about its role in powering Google Translate.) 

That’s why I’m more confident that organizations like the DoD will find success applying generative AI in administrative and business processes. 

Boring AI is not morally complex. It’s not magic. But it works. 

Deeper Learning

AI isn’t great at decoding human emotions. So why are regulators targeting the tech?

Amid all the chatter about ChatGPT, artificial general intelligence, and the prospect of robots taking people’s jobs, regulators in the EU and the US have been ramping up warnings against AI and emotion recognition. Emotion recognition is the attempt to identify a person’s feelings or state of mind using AI analysis of video, facial images, or audio recordings. 

But why is this a top concern? Western regulators are particularly concerned about China’s use of the technology, and its potential to enable social control. And there’s also evidence that it simply does not work properly. Tate Ryan-Mosley dissected the thorny questions around the technology in last week’s edition of The Technocrat, our weekly newsletter on tech policy.

Bits and Bytes

Meta is preparing to launch free code-generating software
A version of its new LLaMA 2 language model that is able to generate programming code will pose a stiff challenge to similar proprietary code-generating programs from rivals such as OpenAI, Microsoft, and Google. The open-source program is called Code Llama, and its launch is imminent, according to The Information. (The Information

OpenAI is testing GPT-4 for content moderation
Using the language model to moderate online content could really help alleviate the mental toll content moderation takes on humans. OpenAI says it’s seen some promising first results, although the tech does not outperform highly trained humans. A lot of big, open questions remain, such as whether the tool can be attuned to different cultures and pick up context and nuance. (OpenAI)

Google is working on an AI assistant that offers life advice
The generative AI tools could function as a life coach, offering up ideas, planning instructions, and tutoring tips. (The New York Times)

Two tech luminaries have quit their jobs to build AI systems inspired by bees
Sakana, a new AI research lab, draws inspiration from the animal kingdom. Founded by two prominent industry researchers and former Googlers, the company plans to make multiple smaller AI models that work together, the idea being that a “swarm” of programs could be as powerful as a single large AI model. (Bloomberg)

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August 22, 2023 at 04:48AM

NASA working to get private space stations up and running before ISS retires in 2030

https://www.space.com/nasa-transition-iss-leo-commercial-space-stations


SEATTLE — With the International Space Station (ISS) scheduled to retire in 2030, NASA is placing a huge emphasis on a seamless shift to future private space stations in low-Earth orbit. Many details of that transition are still being worked out, agency officials say.

“The reason this is so important is because we do believe that the impact of a gap will be disruptive,” said ISS director, Robyn Gatens, during a panel discussion at the International Space Station Research and Development Conference earlier this month.

A few key players who could be impacted by that “gap” include scientists looking to send research experiments to space as well as crew and cargo transportation providers. Given NASA’s expected two-year transition period, a commercial successor must be operating by 2028 to prevent any such complications.

To plan for a smooth shift of research and operations to private space stations by 2030, the White House Office of Science and Technology Policy issued a strategy in March of this year that outlines a plan of action. The policy’s overlying objective is for the U.S. to lead in “an emerging marketplace run by commercial and private enterprises engaged in LEO,” ultimately allowing NASA to maintain an “uninterrupted U.S. presence” in low-Earth orbit.

Related: NASA looks to private outposts to build on International Space Station’s legacy

“The reason we at the White House level released a policy on this topic this year is to prepare seven years in advance, so that we do not have to plan for a scenario where there’s a gap,” Ezinne Uzo-Okoro, an assistant director for space policy at the White House Office of Science and Technology Policy, said at the conference.

Because commercial space station services is still an unproven market, however, carrying out such a seamless transition will not be without its challenges. For instance, experts will need to worry about things like technical costs and scheduling risks in terms of design and development of the space station platforms, John Mulholland, the Boeing program manager for the ISS program, said at the conference. “They will get there but it will not be easy.”

Mulholland also underscored the need for increasing the budget for the United States Deorbit Vehicle (USDV), a spacecraft expected to dock on the ISS before performing a safe deorbit and re-entry sequence back to Earth. (NASA is expected to award the contract for the design and production of this vehicle in March 2024).

The new funds are also likely to be used for an upgrade that significantly improves the science capability of a physics instrument on the ISS that hunts for dark matter, cosmic rays and antimatter galaxies. The detector, known as the Alpha Magnetic Spectrometer (AMS), was installed as an external module on the ISS in 2011. Its upgrade is expected to take an entire cargo flight, which “deserves a plus-up in the budget ahead,” Mulholland said.

With a majority of the research on the ISS funded by the federal government, and the Fiscal Responsibility Act of 2023 suspending the debt ceiling until the end of 2024, “we will be faced with difficult budget cycles in the near future,” he said.

Angela Hart, manager for NASA’s Commercial Low Earth Orbit Destinations (CLD) program, said the space agency will pass on its expertise in technology to private space station providers, but such responsibility and involvement will decrease as the latter finds surer footing. Over the next year, NASA will focus on working with partners and the science community to avoid cost overruns and schedule issues, she explained during a talk on Aug. 3.

After the ISS retires in 2030, NASA is likely to operate a national laboratory that would support various commercial platforms. Although details are few, the LEO National Lab, which is still a working name referring to “low-Earth orbit,” is expected to represent all government-sponsored research to be carried out on a combination of available private space stations.

“The idea is that it would be platform agnostic. So it’s not a single place, it’s not a single laboratory,” said Gatens. “One really important tenet that we’re looking at is it needs to support but not compete with commercial platforms and service providers.”

Currently, ISS partners including Japan, Canada and the European Space Agency (ESA) have committed to support the ISS until its phased retirement operation planned for 2030. Russia has confirmed its support only until 2028, however, after which it will focus on building its own orbital space station, whose first module is expected to launch in 2027.

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August 16, 2023 at 05:11AM

10 confused Cruise robotaxis create an autonomous traffic jam in San Francisco

https://www.autoblog.com/2023/08/15/10-cruise-robotaxis-create-an-autonomous-traffic-jam-in-san-francisco/


On Friday, the North Beach neighborhood of San Francisco was briefly clogged with traffic after autonomous taxis froze at a busy intersection. The jam consisted of at least 10 driverless Chevy Bolts operated by Cruise, General Motorsself-driving car subsidiary. 

“One of them was stopped at the top of the hill for no apparent reason,” witness Valerie Jacobson told NBC Bay Area.

The mishap coincided with a music festival taking place in nearby Golden Gate Park. Cruise blamed the festival for interfering with network connections to the cars.

“A large festival posed wireless bandwidth constraints causing delayed connectivity to our vehicles. We are actively investigating and working on solutions to prevent this from happening again. We apologize to those who were impacted,” said a statement put out by Cruise on social media.

The cluster comes just a day after the state’s Public Utilities Commission ruled 3-1 in favor of letting Cruise and Waymo expand their driverless taxi operations. Waymo is owned by Alphabet, parent company of Google, and uses Jaguar I-Pace electric crossovers. The ruling allowed the companies to conduct robotaxi operations 24/7 throughout San Francisco.

San Francisco Board of Supervisors President Aaron Peskin cautioned that “these things are not ready for prime time,” when speaking to NBC Bay Area. “[It’s] scary as heck if you think about the fact that moving these vehicles out of traffic requires cell service,” he added.

Peskin pointed out that cell service disruption could occur because of a natural disaster. In a situation like that the driverless cars could prevent emergency vehicles from getting through, or block evacuation routes. In an interview with ABC7 San Francisco, he drove the point home: “If there’s a power outage or if there’s a natural disaster like we just saw in Lahaina that these cars could congest our streets at the precise time when we would be needing to deploy emergency apparatus.”

Though the traffic jam cleared after about 20 minutes, this isn’t the first time robotaxis have caused confusion in situations that human drivers would have been able to figure out in seconds. When a robotaxi encounters a confusing situation, it seems to default to simply stopping.

In April, a Cruise robotaxi collided with a city bus, and another was unable to follow a police officer’s instructions to pull over. A similar Cruise traffic jam of eight vehicles blocked city streets for hours last summer, but the cause was never explained. Last December, NHTSA opened an investigation into Cruise for its vehicles’ greater-than-average rate of hard braking and immobilization.

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August 15, 2023 at 04:37PM

Panasonic Warns That IoT Malware Attack Cycles Are Accelerating

https://www.wired.com/story/panasonic-iot-malware-honeypots/


Internet of things devices have been plagued by security issues and unfixed vulnerabilities for more than a decade, fueling botnets, facilitating government surveillance, and exposing institutional networks and individual users around the world. But many manufacturers have been slow to improve their practices and invest in raising the bar. At the Black Hat security conference in Las Vegas today, researchers from Panasonic laid out the company’s strategy for improving IoT defenses based on a five-year project to gather and analyze data on how the company’s own products are attacked.

The researchers use Panasonic home appliances and other internet-connected electronics made by the company to create honeypots that lure real-world attackers to exploit the devices. This way Panasonic can capture current strains of malware and analyze them. Such IoT threat intelligence work is rare from a legacy manufacturer, but Panasonic says it would like to share its findings and collaborate with other companies so the industry can start to compile a broader view of the latest threats across products.

“Attack cycles are becoming faster. And now the malware is becoming all the more complicated and complex,” says Yuki Osawa, chief engineer at Panasonic who spoke with WIRED ahead of the conference through an interpreter. “Traditionally, IoT malware is rather simple. What we are afraid of most is that some kind of a cutting-edge, most advanced type of malware will also target IoT. So there is importance to protect [against] malware even after the product is shipped.”

Panasonic calls its efforts to track threats and develop countermeasures “ASTIRA,” a portmanteau of the Buddhist demigods known as “asura” and “threat intelligence.” And insights from ASTIRA feed into the IoT security solution known as “Threat Resilience and Immunity Module,” or THREIM, which works to detect and block malware on Panasonic devices. In an analysis of Panasonic products running ARM processors, Osawa says, the malware detection rate was about 86 percent for 1,800 malware samples from the ASTIRA honeypots.

“We use the technology to immunize our IoT devices just like protecting humans from the Covid-19 infection,” Osawa says. “These anti-malware functions are built in, no installation required and [they] are very lightweight. It doesn’t affect the capability of the device itself.”

Osawa emphasizes that the ability to push patches to IoT devices is important—a capability that is often lacking in the industry as a whole. But he notes that Panasonic doesn’t always see firmware updates as a feasible solution to dealing with IoT security issues. This is because, in the company’s view, end users don’t have adequate education about the need to install updates on their embedded devices, and not all updates can be delivered automatically without user involvement.

For this reason, Panasonic’s approach melds shipping patches with built-in malware detection and defense. And Osawa emphasizes that Panasonic views it as the manufacturer’s responsibility to develop a security strategy for its products rather than relying on third-party security solutions to defend IoT. He says that this way, vendors can determine a “reasonable level of security” for each product based on its design and the threats it faces. And he adds that by deploying its own solutions out of the box, manufacturers can avoid having to share trade secrets with outside organizations.

“Manufacturers ourselves have to be responsible for developing and providing these security solutions,” Osawa says. “I’m not saying that we’re going to do everything ourselves but we need to have a firm collaboration with third-party security solution vendors. The reason why we make it built in is that inside of the devices, [there are] secrets and we don’t have to open it. We can keep it black box and still we can provide the security as well.”

Developing threat intelligence capabilities for IoT is a crucial step in improving the state of defense for the devices overall. But independent security researchers who have long railed against IoT’s black box model of security through obscurity may take issue with Panasonic’s strategy.

via Wired Top Stories https://www.wired.com

August 9, 2023 at 05:09PM